Data Scientist (AI)

Location: Voluntari, Romania; hybrid way of working

Company

Global tire manufacturer and mobility services provider offering tires, digital mobility services, business support services, and travel-related guides and maps. Operations in Romania include factories, a commercial network, and a shared services center.

What you will do

• Automate forecasting and scenario simulation processes for Sales, Finance, and Commercial Support.
• Identify business problems in Purchasing, Finance, Logistics, Sales Administration, and Personnel that can be addressed with statistics, machine learning, or AI.
• Collect, clean, and analyze structured and unstructured datasets to identify patterns, trends, and business opportunities.
• Develop, train, validate, optimize, deploy, and monitor machine learning models for predictive and prescriptive analytics.
• Build and maintain data science solutions using Databricks and Azure ML Studio in collaboration with Data Engineers.
• Communicate forecasts, analytical findings, model assumptions, and limitations to technical and non-technical stakeholders.

Requirements

• 2–5 years of experience as a Data Scientist, Machine Learning Engineer, or in a similar analytical role.
• Hands-on experience with Databricks, PySpark, Python, Pandas, NumPy, and scikit-learn.
• Knowledge of regression, classification, clustering, recommendation systems, time-series forecasting, and anomaly detection.
• Solid understanding of statistics, probability, hypothesis testing, experimental design, feature engineering, model evaluation, hyperparameter tuning, and cross-validation.
• Strong SQL skills for querying, transforming, and analyzing large datasets.
• Ability to ensure data quality, security, privacy, governance, reproducibility, documentation, and experiment tracking.

Nice to have

• Experience with Azure Machine Learning, MLflow, or similar MLOps platforms.
• Exposure to LLMs, GenAI, or AI agent workflows.
• Experience with Power BI or similar tools for communicating insights.
• Background in FP&A, demand planning, Global Business Services, or shared services.
• Experience with ERP or financial consolidation systems such as SAP or Oracle, or a quantitative degree.

Culture & Benefits

• Hybrid work arrangement.
• Customizable benefits package including gym access, medical or dental services, private retirement pension, public transport cost deductions, and cultural activity vouchers.
• Private medical subscription and life insurance.
• Lunch vouchers, discounts, and vacation cost deductions.
• Opportunities for professional development across units and countries.

Hiring process

• Recruiter review followed by a phone call.
• Assessments covering language skills and competencies.
• Face-to-face or online interview with a recruiter and the hiring manager.